Reference identity in algebraic uncertainty cancellation

ID: reference-identity-in-algebraic-uncertainty-cancellation

Reference identity in algebraic uncertainty cancellation asks whether two appearances of a reference are the same measured quantity or merely readings given the same descriptive name. If a transfer is but a correction subtracts , then
The last difference vanishes identically only when the same reference value is reused. Separate acquisitions may be correlated, independent, or affected by drift; sharing a label does not decide their covariance.
For independent and , also independent of the reference pair, propagation gives
With equal reference standard uncertainties and correlation coefficient , the residual reference contribution is . It is zero for identical reused values, for independent readings, and is not generally zero just because the displayed numbers agree. The GUM requires significant correlations from common inputs to be included.[ref]
An original acquisition model separates what cancels:
Here is a common uncertain calibration contribution, while are independent repeat errors. Their difference removes both and , but leaves . If mg and each repeat error has standard deviation 2 mg, each reading has variance and their covariance is . The difference therefore has variance , not zero.
Adding independent mg and mg gives . Reusing exactly one recorded reference value in both places instead gives . These constructed cases have different data-reduction histories despite similar-looking equations.
Reference lineage in covariance models records acquisition identifiers, shared calibration inputs and coefficients in each derived quantity. A calibration change or time-dependent drift must appear in that model if significant. Algebraic simplification is valuable only when it preserves the identity of the underlying inputs; renaming two acquisitions with the same symbol does not make their errors cancel.

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